ai_optimization_llm_mentions_aggregated_metrics
Analyze aggregated metrics for LLM mentions of specific keywords or domains to monitor AI optimization performance across platforms.
Instructions
This endpoint provides aggregated metrics for mentions of the keywords or domains specified in the target array of the request.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| target | Yes | Array of target objects to search for LLM mentions. Each object must contain either 'domain' or 'keyword'. Maximum number of targets: 1000 | |
| location_name | No | full name of the location, example: 'United Kingdom', 'United States' | |
| language_code | No | Search engine language code (e.g., 'en') | |
| platform | No | Platform to search for LLM mentions | |
| filters | No | you can add several filters at once (8 filters maximum) you should set a logical operator and, or between the conditions the following operators are supported: regex, not_regex, <, <=, >, >=, =, <>, in, not_in, match, not_match, ilike, not_ilike, like, not_like you can use the % operator with like and not_like, as well as ilike and not_ilike to match any string of zero or more characters merge operator must be a string and connect two other arrays, availible values: or, and. example: ["ai_search_volume",">","1000"] The full list of possible filters is available in 'ai_optimization_llm_mentions_filters' tool | |
| internal_list_limit | No | Internal parameter to limit the number of items processed. Not exposed to end-users. |